Trained for 2 epochs and 2400 steps.

Trained with datasets ['text-embed-cache', 'patent-meds-512', 'patent-meds-768', 'patent-meds-1024']
Learning rate 0.0008, batch size 4, and 1 gradient accumulation steps.
Used DDPM noise scheduler for training with epsilon prediction type and rescaled_betas_zero_snr=False
Using 'trailing' timestep spacing.
Base model: black-forest-labs/FLUX.1-dev
VAE: None

pytorch_lora_weights.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3413c909f2f2821b2f57b6847499f35bad09eaceb6d0ddf9ed70be89746a591c
+oid sha256:9e44031d49a072c9722d62e18fc26ef7a1f80d4c6811ee6a05a936de4925fc09
 size 109535132